Identification of an FXR-modulated liver-intestine hybrid state in iPSC-derived hepatocyte-like cells.

Differentiation Differentiation pattern FXR Hepatocyte-like cells Hybrid OMICS Single cell RNA-seq Stem cell Supervised clustering

Journal

Journal of hepatology
ISSN: 1600-0641
Titre abrégé: J Hepatol
Pays: Netherlands
ID NLM: 8503886

Informations de publication

Date de publication:
11 2022
Historique:
received: 10 03 2021
revised: 01 07 2022
accepted: 04 07 2022
pubmed: 22 7 2022
medline: 20 10 2022
entrez: 21 7 2022
Statut: ppublish

Résumé

Pluripotent stem cell (PSC)-derived hepatocyte-like cells (HLC) have enormous potential as a replacement for primary hepatocytes in drug screening, toxicology and cell replacement therapy, but their genome-wide expression patterns differ strongly from primary human hepatocytes (PHH). We differentiated human induced pluripotent stem cells (hiPSC) via definitive endoderm to HLC and characterized the cells by single-cell and bulk RNA-seq, with complementary epigenetic analyses. We then compared HLC to PHH and publicly available data on human fetal hepatocytes (FH) ex vivo; we performed bioinformatics-guided interventions to improve HLC differentiation via lentiviral transduction of the nuclear receptor FXR and agonist exposure. Single-cell RNA-seq revealed that transcriptomes of individual HLC display a hybrid state, where hepatocyte-associated genes are expressed in concert with genes that are not expressed in PHH - mostly intestinal genes - within the same cell. Bulk-level overrepresentation analysis, as well as regulon analysis at the single-cell level, identified sets of regulatory factors discriminating HLC, FH, and PHH, hinting at a central role for the nuclear receptor FXR in the functional maturation of HLC. Combined FXR expression plus agonist exposure enhanced the expression of hepatocyte-associated genes and increased the ability of bile canalicular secretion as well as lipid droplet formation, thereby increasing HLCs' similarity to PHH. The undesired non-liver gene expression was reproducibly decreased, although only by a moderate degree. In contrast to physiological hepatocyte precursor cells and mature hepatocytes, HLC co-express liver and hybrid genes in the same cell. Targeted modification of the FXR gene regulatory network improves their differentiation by suppressing intestinal traits whilst inducing hepatocyte features. Generation of human hepatocytes from stem cells represents an active research field but its success is hampered by the fact that the stem cell-derived 'hepatocytes' still show major differences to hepatocytes obtained from a liver. Here, we identified an important reason for the difference, specifically that the stem cell-derived 'hepatocyte' represents a hybrid cell with features of hepatocytes and intestinal cells. We show that a specific protein (FXR) suppresses intestinal and induces liver features, thus bringing the stem cell-derived cells closer to hepatocytes derived from human livers.

Sections du résumé

BACKGROUND & AIMS
Pluripotent stem cell (PSC)-derived hepatocyte-like cells (HLC) have enormous potential as a replacement for primary hepatocytes in drug screening, toxicology and cell replacement therapy, but their genome-wide expression patterns differ strongly from primary human hepatocytes (PHH).
METHODS
We differentiated human induced pluripotent stem cells (hiPSC) via definitive endoderm to HLC and characterized the cells by single-cell and bulk RNA-seq, with complementary epigenetic analyses. We then compared HLC to PHH and publicly available data on human fetal hepatocytes (FH) ex vivo; we performed bioinformatics-guided interventions to improve HLC differentiation via lentiviral transduction of the nuclear receptor FXR and agonist exposure.
RESULTS
Single-cell RNA-seq revealed that transcriptomes of individual HLC display a hybrid state, where hepatocyte-associated genes are expressed in concert with genes that are not expressed in PHH - mostly intestinal genes - within the same cell. Bulk-level overrepresentation analysis, as well as regulon analysis at the single-cell level, identified sets of regulatory factors discriminating HLC, FH, and PHH, hinting at a central role for the nuclear receptor FXR in the functional maturation of HLC. Combined FXR expression plus agonist exposure enhanced the expression of hepatocyte-associated genes and increased the ability of bile canalicular secretion as well as lipid droplet formation, thereby increasing HLCs' similarity to PHH. The undesired non-liver gene expression was reproducibly decreased, although only by a moderate degree.
CONCLUSION
In contrast to physiological hepatocyte precursor cells and mature hepatocytes, HLC co-express liver and hybrid genes in the same cell. Targeted modification of the FXR gene regulatory network improves their differentiation by suppressing intestinal traits whilst inducing hepatocyte features.
LAY SUMMARY
Generation of human hepatocytes from stem cells represents an active research field but its success is hampered by the fact that the stem cell-derived 'hepatocytes' still show major differences to hepatocytes obtained from a liver. Here, we identified an important reason for the difference, specifically that the stem cell-derived 'hepatocyte' represents a hybrid cell with features of hepatocytes and intestinal cells. We show that a specific protein (FXR) suppresses intestinal and induces liver features, thus bringing the stem cell-derived cells closer to hepatocytes derived from human livers.

Identifiants

pubmed: 35863491
pii: S0168-8278(22)02943-9
doi: 10.1016/j.jhep.2022.07.009
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1386-1398

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest Patricio Godoy is also affiliated with F. Hoffmann-La Roche Ltd (Roche Innovation Center Basel, Basel, Switzerland), Barbara Küppers-Munther is affiliated with Takara Bio Europe AB (former Cellartis AB) (Arvid Wallgrens Backe 20, 41346 Gothenburg, Sweden). Please refer to the accompanying ICMJE disclosure forms for further details.

Auteurs

Patrick Nell (P)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Kathrin Kattler (K)

Department of Genetics, University of Saarland, 66123 Saarbrücken, Germany.

David Feuerborn (D)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Birte Hellwig (B)

Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany.

Adrian Rieck (A)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Abdulrahman Salhab (A)

Department of Genetics, University of Saarland, 66123 Saarbrücken, Germany.

Konstantin Lepikhov (K)

Department of Genetics, University of Saarland, 66123 Saarbrücken, Germany.

Gilles Gasparoni (G)

Department of Genetics, University of Saarland, 66123 Saarbrücken, Germany.

Antonia Thomitzek (A)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Katharina Belgasmi (K)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Nils Blüthgen (N)

IRI Life Sciences, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Markus Morkel (M)

Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Barbara Küppers-Munther (B)

Takara Bio Europe AB (former Cellartis AB), Arvid Wallgrens Backe 20, 41346 Gothenburg, Sweden.

Patricio Godoy (P)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

David C Hay (DC)

Institute of Regeneration and Repair, Centre for Regenerative Medicine, University of Edinburgh, Edinburgh EH16 4UU, United Kingdom.

Cristina Cadenas (C)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Rosemarie Marchan (R)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Nachiket Vartak (N)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Karolina Edlund (K)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany.

Jörg Rahnenführer (J)

Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany.

Jörn Walter (J)

Department of Genetics, University of Saarland, 66123 Saarbrücken, Germany.

Jan G Hengstler (JG)

Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, 44139 Dortmund, Germany. Electronic address: Hengstler@ifado.de.

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Classifications MeSH